Measuring regional efficiency of energy and carbon dioxide emissions in China: a chance constrained DEA approach

DOI10.1016/j.cor.2015.07.021zbMath1349.90629OpenAlexW1129173729MaRDI QIDQ342231

Yiwen Bian, Linlin Zhao, Yong Zha

Publication date: 17 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2015.07.021

zbMATH Keywords

data envelopment analysis (DEA)\(CO_{2}\) emissions uncertaintyenergy and \(CO_{2}\) emissions efficiencystochastic DEA model

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items

Efficiency evaluation based on data envelopment analysis in the big data context ⋮ A decision-making tool for energy efficiency optimization of street lighting ⋮ A Common Set of Weights for Ranking Decision-Making Units with Undesirable Outputs: A Double Frontiers Data Envelopment Analysis Approach ⋮ Uncertainty, risk, and the efficiencies of the principal and the agent: a chance constrained data envelopment analysis approach ⋮ Semi-disposability of undesirable outputs in data envelopment analysis for environmental assessments ⋮ Fixed cost allocation in two-stage system using DEA from a noncooperative view

Uses Software

• DEAP

Cites Work

• A non-radial DEA approach to measuring environmental performance
• Data envelopment analysis for efficiency measurement in the stochastic case
• Duality, classification and slacks in DEA
• Satisficing DEA models under chance constraints
• Modeling undesirable factors in efficiency evaluation: comment
• A survey of data envelopment analysis in energy and environmental studies
• Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
• Data envelopment analysis, operational research and uncertainty
• Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis
• Deterministic Equivalents for Optimizing and Satisficing under Chance Constraints